Project
Infrastruktur für Findable, Accessible, Interoperable, Reusable (FAIR) Daten
Wir werden Forschungsdatenmanagement nach den FAIR (Findable, Accessible, Interoperable, Reusable) Prinzipien im CRC1315 etablieren und somit zu einer transparenten und reproduzierbaren Wissenschaft beitragen. Anforderungen an die Datendokumentation und -annotation werden auch unter Berücksichtigung der Anforderungen von Sekundärnutzern aus dem Bereich theoretische Neurowissenschaft und Modellierung entwickelt. Das INF Projekt leistet Unterstützung bei der Fortschreibung des Datenmanagementplans, beim Kuratieren von Daten bereits bei der Generierung und während der fortlaufenden Forschung sowie durch ausgiebige Schulungen und Beratungen.
Principal Investigators
Publications
Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias
Anita Monteverdi, Fulvia Palesi, Michael Schirner, Francesca Argentino, Mariateresa Merante, Alberto Redolfi, Francesca Conca, Laura Mazzocchi, Stefano F. Cappa, Matteo Cotta Ramusino, Alfredo Costa, Anna Pichiecchio, Lisa M. Farina, Viktor Jirsa, Petra Ritter, Claudia A.M. Gandini Wheeler-Kingshott, Egidio D’Angelo
Front Aging Neurosci. 15:1204134 (2023)
Lesion aware automated processing pipeline for multimodal neuroimaging stroke data and The Virtual Brain (TVB)
Patrik Bey, Kiret Dhinds, Amrit Kashyap, Michael Schirner, Jan Feldheim, Marlene Bönstrup, Robert Schulz, Bastian Cheng, Götz Thomalla, Christian Gerloff, Petra Ritter
bioRxiv (2023)
Whole-brain modeling of the differential influences of amyloid-beta and tau in Alzheimer’s disease
Gustavo Patow, Leon Stefanovski, Petra Ritter, Gustavo Deco, Xenia Kobeleva and for the
Alzheimer’s Disease Neuroimaging InitiativeAlz Res Therapy. 15, 210 (2023)
Scale-free functional brain networks exhibit increased connectivity, are more integrated and less segregated in patients with Parkinson’s disease following dopaminergic treatment
Orestis Stylianou, Zalan Kaposzta, Akos Czoch, Leon Stefanovski, Andriy Yabluchanskiy, Frigyes Samuel Racz, Petra Ritter, Andras Eke, Peter Mukli
Fractal Fract. 6(12):737 (2022)
White-matter degradation and dynamical compensation support age-related functional alterations in human brain
Spase Petkoski, Petra Ritter, Viktor K Jirsa
Cereb Cortex. 33(10):6241-6256 (2023)
A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data
Amrit Kashyap, Sergey Plis, Petra Ritter and Shella Keilholz
Front. Neurosci. 17:1159914 (2023)
Evolution and adoption of contributor role ontologies and taxonomies
Mohammad Hosseini, Julien Colomb, Alex O. Holcombe, Barbara Kern, Nicole A. Vasilevsky, Kristi L. Holmes
Learn Publ. (2022)
Dynamic primitives of brain network interaction
Michael Schirner, Xiaolu Kong, B.T. Thomas Yeo, Gustavo Deco, Petra Ritter
NeuroImage. 250:118928 (2022)
Overcoming the Reproducibility Crisis – Results of the first Community Survey of the German National Research Data Infrastructure for Neuroscience
Carsten M. Klingner, Michael Denker, Sonja Grün, Michael Hanke, Steffen Oeltze-Jafra, Frank W. Ohl, Janina Radny, Stefan Rotter, Hansjörg Scherberger, Alexandra Stein, Thomas Wachtler, Otto W. Witte, Petra Ritter
bioRxiv (2022)
Research data management in clinical neuroscience: the national research data infrastructure initiative
Carsten M. Klingner, Petra Ritter, Stefan Brodoehl, Christian Gaser, André Scherag, Daniel Güllmar, Felix Rosenow, Ulf Ziemann und Otto W. Witte
Neuroforum. 27(1):35-43 (2021)
NFDI-Neuro: Building a community for neuroscience research data management in Germany
Thomas Wachtler, Pavol Bauer, Michael Denker, Sonja Grün, Michael Hanke, Jan Klein, Steffen Oeltze-Jafra, Petra Ritter, Stefan Rotter, Hansjörg Scherberger, Alexandra Stein und Otto W. Witte
Neuroforum. 27(1):3-15 (2021)
Brain simulation as a cloud service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn,...., Agnes Flöel, ...Jochen Mersmann, Viktor Jirsa, Petra Ritter
NeuroImage. 251:118973 (2022)
Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean field model with The Virtual Brain
Jil M. Meier, Dionysios Perdikis, André Blickensdörfer, Leon Stefanovski, Qin Liu, Oliver Maith, Helge Ü. Dinkelbach, Javier Baladron, Fred H. Hamker, Petra Ritter
Exp Neurol. 354:114111 (2022)
The importance of standards for sharing of computational models and data
Russell A. Poldrack, Franklin Feingold, Michael J. Frank, Padraig Gleeson, Gilles de Hollander, Quentin JM Huys, Bradley C. Love, Christopher J. Markiewicz, Rosalyn Moran, Petra Ritter, Timothy T. Rogers, Brandon M. Turner, Tal Yarkoni, Ming Zhan, Jonathan D. Cohen
Comput Brain & Behav. 2(3-4):229-232 (2019)
